Large‐scale deep proteomic analysis in Alzheimer's disease brain regions across race and ethnicity
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Abstract
INTRODUCTION: Alzheimer's disease (AD) is the most prevalent neurodegenerative disease, yet our comprehension predominantly relies on studies within non‐Hispanic White (NHW) populations. Here we provide an extensive survey of the proteomic landscape of AD across diverse racial/ethnic groups. METHODS: Two cortical regions, from multiple centers, were harmonized by uniform neuropathological diagnosis. Among 998 unique donors, 273 donors self‐identified as African American, 229 as Latino American, and 434 as NHW. RESULTS: While amyloid precursor protein and the microtubule‐associated protein tau demonstrated higher abundance in AD brains, no significant race‐related differences were observed. Further proteome‐wide and focused analyses (specific amyloid beta [Aβ] species and the tau domains) supported the absence of racial differences in these AD pathologies within the brain proteome. DISCUSSION: Our findings indicate that the racial differences in AD risk and clinical presentation are not underpinned by dramatically divergent patterns in the brain proteome, suggesting that other determinants account for these clinical disparities. Highlights: We present a large‐scale proteome (∼10,000 proteins) of DLPFC (998) and STG (244) across AD cases. About 50% of samples were from racially and ethnically diverse brain donors. Key AD proteins (amyloid and tau) correlated with CERAD and Braak stages. No significant race‐related differences in amyloid and tau protein levels were observed in AD brains. AD‐associated protein changes showed a strong correlation between the brain proteomes of African American and White individuals. This dataset advances understanding of ethnoracial‐specific AD pathways and potential therapies.
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58% of the significant proteins in AD dementia identified here overlapped with a recent large-scale proteomics study and showed concordant directions of association.
“When compared with a recent large‐scale proteomics study across diverse racial and ethnic groups, 83 58% of the significant proteins in AD dementia and 68% of the significant proteins in amyloid identified here overlapped with their findings and showed concordant directions of association.”
From Unraveling sex differences in Alzheimer's disease and related endophenotypes with brain proteomes (2025) · cites this paper as [83]
68% of the significant proteins in amyloid identified here overlapped with a recent large-scale proteomics study and showed concordant directions of association.
“When compared with a recent large‐scale proteomics study across diverse racial and ethnic groups, 83 58% of the significant proteins in AD dementia and 68% of the significant proteins in amyloid identified here overlapped with their findings and showed concordant directions of association.”
From Unraveling sex differences in Alzheimer's disease and related endophenotypes with brain proteomes (2025) · cites this paper as [83]
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Neuropathological stageing of Alzheimer-related changes.
Braak, H., & Braak, E. (1991) · Acta Neuropathologica · doi:10.1007/bf00308809 · Cited by 16,123 · see citing works
Nichols, E., Steinmetz, J. D., Vollset, S. E., Fukutaki, K., Chalek, J., Abd-Allah, F., Abdoli, A., Abualhasan, A., Abu-Gharbieh, E., Akram, T. T., et al. (2022) · The Lancet Public Health · doi:10.1016/s2468-2667(21)00249-8 · Cited by 5,575 · see citing works
Self-citation2023 Alzheimer's disease facts and figures
(2023) · Alzheimer's & Dementia · doi:10.1002/alz.13016 · Cited by 3,212 · cited 1× · see citing works
“1,2 Notably, African Americans (AAs) and Hispanic Americans (HAs) are almost twice as likely as non-Hispanic Whites (NHWs) to develop AD and/or other dementias.”
Knopman, D. S., Amieva, H., Petersen, R. C., Chételat, G., Holtzman, D. M., Hyman, B. T., Nixon, R. A., & Jones, D. T. (2021) · Nature Reviews Disease Primers · doi:10.1038/s41572-021-00269-y · Cited by 2,606 · see citing works
Semi-supervised learning for peptide identification from shotgun proteomics datasets
Käll, L., Canterbury, J. D., Weston, J., Noble, W. S., & MacCoss, M. J. (2007) · Nature Methods · doi:10.1038/nmeth1113 · Cited by 2,424 · see citing works
Cryo-EM structures of tau filaments from Alzheimer’s disease
Fitzpatrick, A. W. P., Falcon, B., He, S., Murzin, A. G., Murshudov, G., Garringer, H. J., Crowther, R. A., Ghetti, B., Goedert, M., & Scheres, S. H. W. (2017) · Nature · doi:10.1038/nature23002 · Cited by 2,061 · see citing works
Cerebral amyloid angiopathy and Alzheimer disease — one peptide, two pathways
Greenberg, S. M., Bacskai, B. J., Hernandez-Guillamon, M., Pruzin, J., Sperling, R., & van Veluw, S. J. (2020) · Nature Reviews Neurology · doi:10.1038/s41582-019-0281-2 · Cited by 947 · see citing works
ApoE in Alzheimer’s disease: pathophysiology and therapeutic strategies
Raulin, A.-C., Doss, S. V., Trottier, Z. A., Ikezu, T. C., Bu, G., & Liu, C.-C. (2022) · Molecular Neurodegeneration · doi:10.1186/s13024-022-00574-4 · Cited by 756 · see citing works
Tau Kinetics in Neurons and the Human Central Nervous System
Sato, C., Barthélemy, N. R., Mawuenyega, K. G., Patterson, B. W., Gordon, B. A., Jockel-Balsarotti, J., Sullivan, M., Crisp, M. J., Kasten, T., Kirmess, K. M., et al. (2018) · Neuron · doi:10.1016/j.neuron.2018.02.015 · Cited by 586 · see citing works
APOE4 impairs myelination via cholesterol dysregulation in oligodendrocytes
Blanchard, J. W., Akay, L. A., Davila-Velderrain, J., von Maydell, D., Mathys, H., Davidson, S. M., Effenberger, A., Chen, C.-Y., Maner-Smith, K., Hajjar, I., et al. (2022) · Nature · doi:10.1038/s41586-022-05439-w · Cited by 493 · see citing works
Self-citationJohnson, E. C. B., Dammer, E. B., Duong, D. M., Yin, L., Thambisetty, M., Troncoso, J. C., Lah, J. J., Levey, A. I., & Seyfried, N. T. (2018) · Molecular Neurodegeneration · doi:10.1186/s13024-018-0282-4 · Cited by 225 · see citing works
Self-citationWingo, A. P., Dammer, E. B., Breen, M. S., Logsdon, B. A., Duong, D. M., Troncosco, J. C., Thambisetty, M., Beach, T. G., Serrano, G. E., Reiman, E. M., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-09613-z · Cited by 211 · see citing works
Self-citationCerebrospinal fluid proteomics define the natural history of autosomal dominant Alzheimer’s disease
Johnson, E. C. B., Bian, S., Haque, R. U., Carter, E. K., Watson, C. M., Gordon, B. A., Ping, L., Duong, D. M., Epstein, M. P., McDade, E., et al. (2023) · Nature Medicine · doi:10.1038/s41591-023-02476-4 · Cited by 170 · see citing works
Self-citationCortical Proteins Associated With Cognitive Resilience in Community-Dwelling Older Persons
Yu, L., Tasaki, S., Schneider, J. A., Arfanakis, K., Duong, D. M., Wingo, A. P., Wingo, T. S., Kearns, N., Thatcher, G. R. J., Seyfried, N. T., et al. (2020) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2020.1807 · Cited by 127 · see citing works
Self-citationSystems-based proteomics to resolve the biology of Alzheimer’s disease beyond amyloid and tau
Rayaprolu, S., Higginbotham, L., Bagchi, P., Watson, C. M., Zhang, T., Levey, A. I., Rangaraju, S., & Seyfried, N. T. (2021) · Neuropsychopharmacology · doi:10.1038/s41386-020-00840-3 · Cited by 118 · see citing works
Self-citationGómez de San José, N., Massa, F., Halbgebauer, S., Oeckl, P., Steinacker, P., & Otto, M. (2022) · Journal of Neural Transmission · doi:10.1007/s00702-021-02411-2 · Cited by 112 · see citing works
Caunca, M. R., Odden, M. C., Glymour, M. M., Elfassy, T., Kershaw, K. N., Sidney, S., Yaffe, K., Launer, L., & Zeki Al Hazzouri, A. (2020) · JAMA Neurology · doi:10.1001/jamaneurol.2020.0860 · Cited by 73 · see citing works
Effects of APOE Genotype on Brain Proteomic Network and Cell Type Changes in Alzheimer's Disease
Dai, J., Johnson, E. C. B., Dammer, E. B., Duong, D. M., Gearing, M., Lah, J. J., Levey, A. I., Wingo, T. S., & Seyfried, N. T. (2018) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2018.00454 · Cited by 62 · see citing works
Self-citationLe Guen, Y., Raulin, A.-C., Logue, M. W., Sherva, R., Belloy, M. E., Eger, S. J., Chen, A., Kennedy, G., Kuchenbecker, L., O’Leary, J. P., et al. (2023) · JAMA · doi:10.1001/jama.2023.0268 · Cited by 50 · see citing works
Reddy, J. S., Heath, L., Linden, A. V., Allen, M., Lopes, K. D. P., Seifar, F., Wang, E., Ma, Y., Poehlman, W. L., Quicksall, Z. S., et al. (2024) · Alzheimer's & Dementia · doi:10.1002/alz.14208 · Cited by 29 · see citing works
Self-citation
Flagged first, then by citations
Research works printed but not linked: 85
- [3]2010 Alzheimer's disease facts and figures. Alzheimer's & Dementia: the Journal of the Alzheimer's Association. 2010; 6(2): 158‐ 194. 20298981
- [4]Chin AL, Negash S, Hamilton R. Diversity and disparity in dementia: the impact of ethnoracial differences in Alzheimer disease. Alzheimer Dis Assoc Disord. 2011; 25(3): 187‐ 195. 21399486 PMC3396146
- [6]Lourida I, Hannon E, Littlejohns TJ, et al. Association of Lifestyle and Genetic Risk With Incidence of Dementia. JAMA. 2019; 322(5): 430‐ 437. 31302669 PMC6628594
- [7]Almeida RP, Schultz SA, Austin BP, et al. Effect of Cognitive Reserve on Age‐Related Changes in Cerebrospinal Fluid Biomarkers of Alzheimer Disease. JAMA Neurol. 2015; 72(6): 699‐ 706. 25893879 PMC4639566
- [9]Hunt JFV, Buckingham W, Kim AJ, et al. Association of Neighborhood‐Level Disadvantage With Cerebral and Hippocampal Volume. JAMA Neurol. 2020; 77(4): 451‐ 460. 31904767 PMC6990953
- [10]Lamar M, Lerner AJ, James BD, et al. Relationship of Early‐Life Residence and Educational Experience to Level and Change in Cognitive Functioning: results of the Minority Aging Research Study. The Journals of Gerontology Series B, Psychological Sciences and Social Sciences. 2020; 75(7): e81‐ e92. 30882155 PMC7424266
- [11]National Research Council Panel on Race E, Health in Later L. The National Academies Collection: reports funded by National Institutes of Health. In Anderson NB, Bulatao RA, Cohen B, eds. Critical Perspectives on Racial and Ethnic Differences in Health in Late Life. National Academies Press (US) Copyright © 2004, National Academy of Sciences; 2004. 20669464
- [12]Sisco S, Gross AL, Shih RA, et al. The role of early‐life educational quality and literacy in explaining racial disparities in cognition in late life. The Journals of Gerontology Series B, Psychological Sciences and Social Sciences. 2015; 70(4): 557‐ 567. 24584038 PMC4462668
- [13]Howell JC, Watts KD, Parker MW, et al. Race modifies the relationship between cognition and Alzheimer's disease cerebrospinal fluid biomarkers. Alzheimer's Research & Therapy. 2017; 9(1): 88. PMC5668981 29096697
- [14]Modeste ES, Ping L, Watson CM, et al. Quantitative proteomics of cerebrospinal fluid from African Americans and Caucasians reveals shared and divergent changes in Alzheimer's disease. Molecular Neurodegeneration. 2023; 18(1): 48. 37468915 PMC10355042
- [15]Morris JC, Schindler SE, McCue LM, et al. Assessment of Racial Disparities in Biomarkers for Alzheimer Disease. JAMA Neurol. 2019; 76(3): 264‐ 273. 30615028 PMC6439726
- [16]Hodes RJ, Buckholtz N. Accelerating Medicines Partnership: alzheimer's Disease (AMP‐AD) Knowledge Portal Aids Alzheimer's Drug Discovery through Open Data Sharing. Expert Opin Ther Targets. 2016; 20(4): 389‐ 391. 26853544
- [17]Bayer TA. Proteinopathies, a core concept for understanding and ultimately treating degenerative disorders?. European neuropsychopharmacology: the Journal of the European College of Neuropsychopharmacology. 2015; 25(5): 713‐ 724. 23642796
- [18]Bai B, Vanderwall D, Li Y, et al. Proteomic landscape of Alzheimer's Disease: novel insights into pathogenesis and biomarker discovery. Molecular Neurodegeneration. 2021; 16(1): 55. 34384464 PMC8359598
- [19]Macklin A, Khan S, Kislinger T. Recent advances in mass spectrometry based clinical proteomics: applications to cancer research. Clinical Proteomics. 2020; 17(1): 17. 32489335 PMC7247207
- [21]Johnson ECB, Carter EK, Dammer EB, et al. Large‐scale deep multi‐layer analysis of Alzheimer's disease brain reveals strong proteomic disease‐related changes not observed at the RNA level. Nat Neurosci. 2022; 25(2): 213‐ 225. 35115731 PMC8825285
- [22]Seyfried NT, Dammer EB, Swarup V, et al. A Multi‐network Approach Identifies Protein‐Specific Co‐expression in Asymptomatic and Symptomatic Alzheimer's Disease. Cell Syst. 2017; 4(1): 60‐ 72.e4. 27989508 PMC5269514
- [23]Tasaki S, Xu J, Avey DR, et al. Inferring protein expression changes from mRNA in Alzheimer's dementia using deep neural networks. Nat Commun. 2022; 13(1): 655. 35115553 PMC8814036
- [24]Wingo AP, Liu Y, Gerasimov ES, et al. Integrating human brain proteomes with genome‐wide association data implicates new proteins in Alzheimer's disease pathogenesis. PMC8130821 33510477
- [25]Wingo TS, Liu Y, Gerasimov ES, et al. Brain proteome‐wide association study implicates novel proteins in depression pathogenesis. PMC8530461 33846625
- [27]Guo Q, Ping L, Dammer EB, et al. Global analysis of the heparin‐enriched plasma proteome captures matrisome‐associated proteins in Alzheimer's disease. Biorxiv. 2023.
- [28]Marks JD, Ayuso VE, Carlomagno Y, et al. TMEM106B core deposition associates with TDP‐43 pathology and is increased in risk SNP carriers for frontotemporal dementia. Sci Transl Med. 2024; 16(730): eadf9735. 38232138 PMC10841341
- [29]Wojtas AM, Dammer EB, Guo Q, et al. Proteomic Changes in the Human Cerebrovasculature in Alzheimer's Disease and Related Tauopathies Linked to Peripheral Biomarkers in Plasma and Cerebrospinal Fluid. medRxiv: the preprint server for health sciences. 2024. PMC11180878 38713744
- [31]Wojtas AM, Dammer EB, Guo Q, et al. Proteomic changes in the human cerebrovasculature in Alzheimer's disease and related tauopathies linked to peripheral biomarkers in plasma and cerebrospinal fluid. Alzheimers Dement. 2024; 20(6): 4043‐ 4065. 38713744 PMC11180878
- [32]Johnson ECB, Dammer EB, Duong DM, et al. Large‐scale proteomic analysis of Alzheimer's disease brain and cerebrospinal fluid reveals early changes in energy metabolism associated with microglia and astrocyte activation. Nat Med. 2020; 26(5): 769‐ 780. 32284590 PMC7405761
- [33]Robins C, Liu Y, Fan W, et al. Genetic control of the human brain proteome. Am J Hum Genet. 2021; 108(3): 400‐ 410. 33571421 PMC8008492
- [34]Wingo AP, Fan W, Duong DM, et al. Shared proteomic effects of cerebral atherosclerosis and Alzheimer's disease on the human brain. Nat Neurosci. 2020; 23(6): 696‐ 700. 32424284 PMC7269838
- [35]Hoffman GE, Schadt EE. variancePartition: interpreting drivers of variation in complex gene expression studies. BMC Bioinf. 2016; 17(1): 483. PMC5123296 27884101
- [36]Dammer EB, Seyfried NT, Johnson ECB. Batch Correction and Harmonization of ‐Omics Datasets with a Tunable Median Polish of Ratio. Frontiers in Systems Biology. 2023; 3. PMC10137904 37122388
- [37]Yu Y, Zhang N, Mai Y, et al. Correcting batch effects in large‐scale multiomics studies using a reference‐material‐based ratio method. Genome Biol. 2023; 24(1): 201. 37674217 PMC10483871
- [38]Hout MC, Papesh MH, Goldinger SD. Multidimensional scaling. Wiley Interdisciplinary Reviews Cognitive Science. 2013; 4(1): 93‐ 103. 23359318 PMC3555222
- [39]Armoskus C, Moreira D, Bollinger K, Jimenez O, Taniguchi S, Tsai HW. Identification of sexually dimorphic genes in the neonatal mouse cortex and hippocampus. Brain Res. 2014; 1562: 23‐ 38. 24661915 PMC4058436
- [40]Braun AE, Mitchel OR, Gonzalez TL, et al. Sex at the interface: the origin and impact of sex differences in the developing human placenta. Biol Sex Differ. 2022; 13(1): 50. 36114567 PMC9482177
- [42]Levites Y, Dammer EB, Ran Y, et al. Aβ Amyloid Scaffolds the Accumulation of Matrisome and Additional Proteins in Alzheimer's Disease. Biorxiv. 2023.
- [43]Askenazi M, Kavanagh T, Pires G, Ueberheide B, Wisniewski T, Drummond E. Compilation of reported protein changes in the brain in Alzheimer's disease. Nat Commun. 2023; 14(1): 4466. 37491476 PMC10368642
- [44]Drummond E, Nayak S, Faustin A, et al. Proteomic differences in amyloid plaques in rapidly progressive and sporadic Alzheimer's disease. Acta Neuropathol. 2017; 133(6): 933‐ 954. 28258398 PMC5503748
- [46]de Rojas I, Moreno‐Grau S, Tesi N, et al. Common variants in Alzheimer's disease and risk stratification by polygenic risk scores. Nat Commun. 2021; 12(1): 3417. 34099642 PMC8184987
- [47]Watson CM, Dammer EB, Ping L, et al. Quantitative Mass Spectrometry Analysis of Cerebrospinal Fluid Protein Biomarkers in Alzheimer's Disease. Sci Data. 2023; 10(1): 261. 37160957 PMC10170100
- [49]Kocahan S, Doğan Z. Mechanisms of Alzheimer's Disease Pathogenesis and Prevention: the Brain, Neural Pathology, N‐methyl‐D‐aspartate Receptors, Tau Protein and Other Risk Factors. Clinical psychopharmacology and neuroscience: the official scientific journal of the Korean College of. Neuropsychopharmacology. 2017; 15(1): 1‐ 8. PMC5290713 28138104
- [50]Rohan de Silva HA, Jen A, Wickenden C, Jen LS, Wilkinson SL, Patel AJ. Cell‐specific expression of beta‐amyloid precursor protein isoform mRNAs and proteins in neurons and astrocytes. Brain Res Mol Brain Res. 1997; 47(1‐2): 147‐ 156. 9221912
- [51]Zhang YW, Thompson R, Zhang H, Xu H. APP processing in Alzheimer's disease. Mol Brain. 2011; 4: 3. 21214928 PMC3022812
- [52]Bloom GS. Amyloid‐β and tau: the trigger and bullet in Alzheimer disease pathogenesis. JAMA Neurol. 2014; 71(4): 505‐ 508. 24493463 PMC12908160
- [53]Ittner LM, Götz J. Amyloid‐β and tau–a toxic pas de deux in Alzheimer's disease. Nat Rev Neurosci. 2011; 12(2): 65‐ 72. 21193853
- [54]Drummond E, Kavanagh T, Pires G, et al. The amyloid plaque proteome in early onset Alzheimer's disease and Down syndrome. Acta Neuropathol Commun. 2022; 10(1): 53. 35418158 PMC9008934
- [55]Levites Y, Dammer EB, Ran Y, et al. Integrative proteomics identifies a conserved Aβ amyloid responsome, novel plaque proteins, and pathology modifiers in Alzheimer's disease. Cell Rep Med. 2024; 5(8): 101669. 39127040 PMC11384960
- [56]Zaman M, Fu Y, Chen PC, et al. Dissecting Detergent‐Insoluble Proteome in Alzheimer's Disease by TMTc‐Corrected Quantitative Mass Spectrometry. Mol Cell Proteomics. 2023; 22(8): 100608. 37356496 PMC10392608
- [57]Konno T, Parutto P, Crapart CC, et al. Endoplasmic reticulum morphology regulation by RTN4 modulates neuronal regeneration by curbing luminal transport. Cell Rep. 2024; 43(7): 114357. 38955182
- [58]Murayama KS, Kametani F, Saito S, Kume H, Akiyama H, Araki W. Reticulons RTN3 and RTN4‐B/C interact with BACE1 and inhibit its ability to produce amyloid beta‐protein. Eur J Neurosci. 2006; 24(5): 1237‐ 1244. 16965550
- [60]Libiger O, Shaw LM, Watson MH, et al. Longitudinal CSF proteomics identifies NPTX2 as a prognostic biomarker of Alzheimer's disease. Alzheimers Dement. 2021; 17(12): 1976‐ 1987. 33984181 PMC9222372
- [61]Quinn JP, Kandigian SE, Trombetta BA, Arnold SE, Carlyle BC. VGF as a biomarker and therapeutic target in neurodegenerative and psychiatric diseases. Brain Commun. 2021; 3(4): fcab261. 34778762 PMC8578498
- [62]Zhu Y, Afolabi LO, Wan X, Shim JS, Chen L. TRIM family proteins: roles in proteostasis and neurodegenerative diseases. Open Biol. 2022; 12(8): 220098. 35946309 PMC9364147
- [64]Toombs J, Zetterberg H. Untangling the tau microtubule‐binding region. Brain: a Journal of Neurology. 2021; 144(2): 359‐ 362. 34182574 PMC8269356
- [66]Cha‐Molstad H, Yu JE, Feng Z, et al. p62/SQSTM1/Sequestosome‐1 is an N‐recognin of the N‐end rule pathway which modulates autophagosome biogenesis. Nat Commun. 2017; 8(1): 102. 28740232 PMC5524641
- [67]Drummond E, Pires G, MacMurray C, et al. Phosphorylated tau interactome in the human Alzheimer's disease brain. Brain. 2020; 143(9): 2803‐ 2817. 32812023 PMC7526722
- [68]Ono M, Komatsu M, Ji B, et al. Central role for p62/SQSTM1 in the elimination of toxic tau species in a mouse model of tauopathy. Aging Cell. 2022; 21(7): e13615. 35662390 PMC9282839
- [69]Li G, Yin H, Kuret J. Casein kinase 1 delta phosphorylates tau and disrupts its binding to microtubules. J Biol Chem. 2004; 279(16): 15938‐ 15945. 14761950
- [70]Fechtner L, Pfirrmann T. The GID ubiquitin ligase complex just reached the next level of complexity. Mol Cell. 2021; 81(11): 2270‐ 2272. 34087177
- [71]Miwa JM. Lynx1 prototoxins: critical accessory proteins of neuronal nicotinic acetylcholine receptors. Curr Opin Pharmacol. 2021; 56: 46‐ 51. 33254061 PMC8771676
- [72]Shenkarev ZO, Shulepko MA, Bychkov ML, et al. Water‐soluble variant of human Lynx1 positively modulates synaptic plasticity and ameliorates cognitive impairment associated with α7‐nAChR dysfunction. J Neurochem. 2020; 155(1): 45‐ 61. 32222974
- [73]Thouta S, Zhang Y, Garcia E, Snutch TP, Kv1.1 channels mediate network excitability and feed‐forward inhibition in local amygdala circuits. PMC8313690 34312446
- [74]Garrett SL, McDaniel D, Obideen M, et al. Racial Disparity in Cerebrospinal Fluid Amyloid and Tau Biomarkers and Associated Cutoffs for Mild Cognitive Impairment. JAMA Netw Open. 2019; 2(12): e1917363. 31834392 PMC6991300
- [75]Bernstein SL, Dupuis NF, Lazo ND, et al. Amyloid‐β protein oligomerization and the importance of tetramers and dodecamers in the aetiology of Alzheimer's disease. Nat Chem. 2009; 1(4): 326‐ 331. 20703363 PMC2918915
- [77]Kakuda N, Miyasaka T, Iwasaki N, et al. Distinct deposition of amyloid‐β species in brains with Alzheimer's disease pathology visualized with MALDI imaging mass spectrometry. Acta Neuropathol Commun. 2017; 5(1): 73. 29037261 PMC5641992
- [78]Boccalini C, Ribaldi F, Hristovska I, et al. The impact of tau deposition and hypometabolism on cognitive impairment and longitudinal cognitive decline. Alzheimers Dement. 2024; 20(1): 221‐ 233. 37555516 PMC10916991
- [79]Tanner JA, Iaccarino L, Edwards L, et al. Amyloid, tau and metabolic PET correlates of cognition in early and late‐onset Alzheimer's disease. Brain. 2022; 145(12): 4489‐ 4505. 35762829 PMC10200306
- [80]Taniguchi‐Watanabe S, Arai T, Kametani F, et al. Biochemical classification of tauopathies by immunoblot, protein sequence and mass spectrometric analyses of sarkosyl‐insoluble and trypsin‐resistant tau. Acta Neuropathol. 2016; 131(2): 267‐ 280. 26538150 PMC4713716
- [83]Singh U, Hernandez KM, Aronow BJ, Wurtele ES. African Americans and European Americans exhibit distinct gene expression patterns across tissues and tumors associated with immunologic functions and environmental exposures. Sci Rep. 2021; 11(1): 9905. 33972602 PMC8110974
- [84]Hurst C, Pugh DA, Abreha MH, et al. Integrated Proteomics to Understand the Role of Neuritin (NRN1) as a Mediator of Cognitive Resilience to Alzheimer's Disease. Mol Cell Proteomics. 2023; 22(5): 100542. 37024090 PMC10233303
- [87]Murata T, Yamaguchi M, Kohno S, et al. Regucalcin confers resistance to amyloid‐β toxicity in neuronally differentiated PC12 cells. FEBS Open Bio. 2018; 8(3): 349‐ 360. PMC5832982 29511612
- [88]Li X, Zhang DF, Bi R, et al. Convergent transcriptomic and genomic evidence supporting a dysregulation of CXCL16 and CCL5 in Alzheimer's disease. Alzheimers Res Ther. 2023; 15(1): 17. 36670424 PMC9863145
- [89]Kamara DM, Gangishetti U, Gearing M, et al. Cerebral Amyloid Angiopathy: similarity in African‐Americans and Caucasians with Alzheimer's Disease. J Alzheimers Dis. 2018; 62(4): 1815‐ 1826. 29614657 PMC6103628
- [90]Wilkins CH, Grant EA, Schmitt SE, McKeel DW, Morris JC. The neuropathology of Alzheimer disease in African American and white individuals. Arch Neurol. 2006; 63(1): 87‐ 90. 16401740
- [91]Wilkins CH, Windon CC, Dilworth‐Anderson P, et al. Racial and Ethnic Differences in Amyloid PET Positivity in Individuals With Mild Cognitive Impairment or Dementia: a Secondary Analysis of the Imaging Dementia‐Evidence for Amyloid Scanning (IDEAS) Cohort Study. JAMA Neurol. 2022; 79(11): 1139‐ 1147. 36190710 PMC9531087
- [92]Riudavets MA, Rubio A, Cox C, Rudow G, Fowler D, Troncoso JC. The prevalence of Alzheimer neuropathologic lesions is similar in blacks and whites. J Neuropathol Exp Neurol. 2006; 65(12): 1143‐ 1148. 17146288
- [93]Peretti D, Bastide A, Radford H, et al. RBM3 mediates structural plasticity and protective effects of cooling in neurodegeneration. Nature. 2015; 518(7538): 236‐ 239. 25607368 PMC4338605
- [94]Lekhraj R, Lalezari S, Aguilan JT, et al. Altered abundances of human immunoglobulin M and immunoglobulin G subclasses in Alzheimer's disease frontal cortex. Sci Rep. 2022; 12(1): 6934. 35484384 PMC9050688
- [95]Langfelder P, Horvath S. WGCNA: an R package for weighted correlation network analysis. BMC Bioinf. 2008; 9: 559. PMC2631488 19114008
- [96]Zhang Q, Ma C, Gearing M, Wang PG, Chin L‐S, Li L. Integrated proteomics and network analysis identifies protein hubs and network alterations in Alzheimer's disease. Acta Neuropathologica Communications. 2018; 6(1): 19. 29490708 PMC5831854
- [97]Arakhamia T, Lee CE, Carlomagno Y, et al. Posttranslational Modifications Mediate the Structural Diversity of Tauopathy Strains. Cell. 2020; 180(4): 633‐ 644.e12. 32032505 PMC7491959
- [98]Bastrup J, Kastaniegaard K, Asuni AA, Volbracht C, Stensballe A. Proteomic and Unbiased Post‐Translational Modification Profiling of Amyloid Plaques and Surrounding Tissue in a Transgenic Mouse Model of Alzheimer's Disease. Journal of Alzheimer's Disease: JAD. 2020; 73(1): 393‐ 411. 31771055
- [99]Wingo AP, Liu Y, Gerasimov ES, et al. Integrating human brain proteomes with genome‐wide association data implicates new proteins in Alzheimer's disease pathogenesis. Nat Genet. 2021; 53(2): 143‐ 146. 33510477 PMC8130821
- [100]Kunkle BW, Schmidt M, Klein H‐U, et al. Novel Alzheimer Disease Risk Loci and Pathways in African American Individuals Using the African Genome Resources Panel: a Meta‐analysis. JAMA Neurol. 2021; 78(1): 102‐ 113. 33074286 PMC7573798
- [101]Lake J, Warly Solsberg C, Kim JJ, et al. Multi‐ancestry meta‐analysis and fine‐mapping in Alzheimer's disease. Mol Psychiatry. 2023; 28(7): 3121‐ 3132. 37198259 PMC10615750
- [103]Raj T, Li YI, Wong G, et al. Integrative transcriptome analyses of the aging brain implicate altered splicing in Alzheimer's disease susceptibility. Nat Genet. 2018; 50(11): 1584‐ 1592. 30297968 PMC6354244
- [104]Higginbotham L, Carter EK, Dammer EB, et al. Unbiased classification of the elderly human brain proteome resolves distinct clinical and pathophysiological subtypes of cognitive impairment. Neurobiol Dis. 2023; 186: 106286. 37689213 PMC10750427
Cited by
Sorted by citations
Unraveling sex differences in Alzheimer's disease and related endophenotypes with brain proteomes
Mei, Z., Liu, J., Bennett, D. A., Seyfried, N., Wingo, A. P., & Wingo, T. S. (2025) · Alzheimer's & Dementia · doi:10.1002/alz.70206 · Cited by 11 · see citing works
Self-citation
- Authors
- Seifar, F., Fox, E. J., Shantaraman, A., Liu, Y., Dammer, E. B., Modeste, E., Duong, D. M., Yin, L., Trautwig, A. N., Guo, Q., Xu, K., Ping, L., Reddy, J. S., Allen, M., Quicksall, Z., Heath, L., Scanlan, J., Wang, E., Wang, M., Linden, A. V., Poehlman, W., Chen, X., Baheti, S., Ho, C., Nguyen, T., Yepez, G., Mitchell, A. O., Oatman, S. R., Wang, X., Carrasquillo, M. M., Runnels, A., Beach, T., Serrano, G. E., Dickson, D. W., Lee, E. B., Golde, T. E., Prokop, S., Barnes, L. L., Zhang, B., Haroutunian, V., Gearing, M., Lah, J. J., De Jager, P., Bennett, D. A., Greenwood, A., Ertekin‐Taner, N., Levey, A. I., Wingo, A., Wingo, T., & Seyfried, N. T.
- Affiliations
- Emory University (US)
- Mayo Clinic in Florida (US)
- Sage Bionetworks (US)
- Icahn School of Medicine at Mount Sinai (US)
- New York Genome Center (US)
- Banner Sun Health Research Institute (US)
- University of Pennsylvania (US)
- University of Florida (US)
- Rush University Medical Center (US)
- Columbia University Irving Medical Center New York New York USA
- Corresponding author
- Seyfried, Nicholas T.
- ORCID
- Seifar, Fatemeh
- Fox, Edward J.
- Shantaraman, Anantharaman
- Liu, Yue
- Dammer, Eric B.
- Modeste, Erica
- Duong, Duc M.
- Trautwig, Adam N.
- Guo, Qi
- Xu, Kaiming
- Reddy, Joseph S.
- Allen, Mariet
- Quicksall, Zachary
- Heath, Laura
- Wang, Erming
- Wang, Minghui
- Linden, Abby Vander
- Poehlman, William
- Chen, Xianfeng
- Baheti, Saurabh
- Ho, Charlotte
- Nguyen, Thuy
- Wang, Xue
- Carrasquillo, Minerva M.
- Runnels, Alexi
- Serrano, Geidy E.
- Dickson, Dennis W.
- Lee, Edward B.
- Golde, Todd E.
- Prokop, Stefan
- Barnes, Lisa L.
- Zhang, Bin
- Gearing, Marla
- Lah, James. J
- Greenwood, Anna
- Ertekin‐Taner, Nilüfer
- Levey, Allan I.
- Wingo, Aliza
- Wingo, Thomas
- Seyfried, Nicholas T.
- Venue
- Alzheimer's & Dementia
- Publisher
- Wiley
- Published
- 2024-11-13
- Volume
- 20
- Issue
- 12
- Pages
- 8878-8897
- ISSN
- 1552-5260 (ISSN-L)
- 1552-5279
- PMC
- PMC11667503
- OpenAlex
- W4404326068
- Cited by
- 52
- References
- 20
- Citations by year
- 2026: 19 · 2025: 30 · 2024: 3
- FWCI
- 14.80
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Alzheimer s & Dementia (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- eScholarship (California Digital Library) (submittedVersion, cc-by)
- PubMed Central (submittedVersion, cc-by)
- Funders
- National Institute on Aging (U01‐AG061357)
- Topics
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Physical Sciences › Chemistry › Spectroscopy › Advanced Proteomics Techniques and Applications
- Keywords
- Alzheimer's disease, brain proteome
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